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Information Journal Paper

Title

INTERNET USAGE PATTERN: USING AN INCREMENTAL DATA MINING MODEL

Pages

  193-214

Abstract

 ISPs always confront a huge amount of their customer usage raw data. Since these data are too voluminous, data mining techniques can be useful to recognize hidden usage patterns of the users to develop relevant management strategies. But these patterns vary according to variable circumstances during a year. Therefore, in this paper, the usage patterns of internet users are detected continuously during time line applying usage attributes of the users and ASSOCIATION RULES of mining technique within an incremental data mining framework. Raw data of an ISP is surveyed to describe the model. The results of the article show that the usage patterns of internet users obtained from this data mining model can lead to the improvement of ISP services and the reduction of their costs.

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    Cite

    APA: Copy

    MOSTAFAVI SABET, ALIASGHAR, SALEHI RAD, MOHAMAD REZA, BAYAT, ALI, & FOYOUZ, HODA. (2009). INTERNET USAGE PATTERN: USING AN INCREMENTAL DATA MINING MODEL. JOURNAL OF NEW ECONOMY & COMMERCE, 5(17-18), 193-214. SID. https://sid.ir/paper/118603/en

    Vancouver: Copy

    MOSTAFAVI SABET ALIASGHAR, SALEHI RAD MOHAMAD REZA, BAYAT ALI, FOYOUZ HODA. INTERNET USAGE PATTERN: USING AN INCREMENTAL DATA MINING MODEL. JOURNAL OF NEW ECONOMY & COMMERCE[Internet]. 2009;5(17-18):193-214. Available from: https://sid.ir/paper/118603/en

    IEEE: Copy

    ALIASGHAR MOSTAFAVI SABET, MOHAMAD REZA SALEHI RAD, ALI BAYAT, and HODA FOYOUZ, “INTERNET USAGE PATTERN: USING AN INCREMENTAL DATA MINING MODEL,” JOURNAL OF NEW ECONOMY & COMMERCE, vol. 5, no. 17-18, pp. 193–214, 2009, [Online]. Available: https://sid.ir/paper/118603/en

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